Different distances between probability distributions can be used. We refer for instance to [1]} and references therein, where Monge-Kantorovich distance (aka Wasserstein distance) is used. Embedding of distributions using kernels can also be used as pointed out in [2]}, together with well adapted notions of dependency in this setting.
